The golden age of Artificial Intelligence

Even today, there is no consensus on the answer to the question Turing posed; “can machines think [3]?” The reference here is to a video clip, illustrating in black and white, the state of AI in the 1960s, in which legendary AI pioneers like Jerome Wiesner, Oliver Selfridge, and Claude Shannon speak...

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Veröffentlicht in:Discover Artificial Intelligence 2021-12, Vol.1 (1)
1. Verfasser: Kaynak, Okyay
Format: Artikel
Sprache:eng
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Zusammenfassung:Even today, there is no consensus on the answer to the question Turing posed; “can machines think [3]?” The reference here is to a video clip, illustrating in black and white, the state of AI in the 1960s, in which legendary AI pioneers like Jerome Wiesner, Oliver Selfridge, and Claude Shannon speak. [...]in 1973, in response to the pressure from Congress, the U.S. and British Governments stopped funding the undirected research into Artificial Intelligence. The present After having gone through two "winters" in the early seventies and the late eighties, AI made a glorious come back at the beginning of the second millennium, enabled by the emerging massive computing power, the collection of colossal data sets (the big data phenomenon) and the advances in data analytics (from descriptive to predictive, even to prescriptive). In real world applications, there often are cases when an AI program must operate under conditions in which the information available is incomplete and/or the parties engaged may be hiding information or even engaging in deception.
ISSN:2731-0809
DOI:10.1007/s44163-021-00009-x